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加速度计切点的校准和交叉验证,以对老年人髋部和非优势手腕及优势手腕的久坐时间和身体活动进行分类。

Calibration and Cross-Validation of Accelerometer Cut-Points to Classify Sedentary Time and Physical Activity from Hip and Non-Dominant and Dominant Wrists in Older Adults.

机构信息

Department of Health, Medicine and Caring Sciences, Linköping University, 581 83 Linköping, Sweden.

PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, 18010 Granada, Spain.

出版信息

Sensors (Basel). 2021 May 11;21(10):3326. doi: 10.3390/s21103326.

DOI:10.3390/s21103326
PMID:34064790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8150960/
Abstract

Accelerometers' accuracy for sedentary time (ST) and moderate-to-vigorous physical activity (MVPA) classification depends on accelerometer placement, data processing, activities, and sample characteristics. As intensities differ by age, this study sought to determine intensity cut-points at various wear locations people more than 70 years old. Data from 59 older adults were used for calibration and from 21 independent participants for cross-validation purposes. Participants wore accelerometers on their hip and wrists while performing activities and having their energy expenditure measured with portable calorimetry. ST and MVPA were defined as ≤1.5 metabolic equivalents (METs) and ≥3 METs (1 MET = 2.8 mL/kg/min), respectively. Receiver operator characteristic (ROC) analyses showed fair-to-good accuracy (area under the curve [AUC] = 0.62-0.89). ST cut-points were 7 m (cross-validation: sensitivity = 0.88, specificity = 0.80) and 1 count/5 s (cross-validation: sensitivity = 0.91, specificity = 0.96) for the hip; 18 m (cross-validation: sensitivity = 0.86, specificity = 0.86) and 102 counts/5 s (cross-validation: sensitivity = 0.91, specificity = 0.92) for the non-dominant wrist; and 22 m and 175 counts/5 s (not cross-validated) for the dominant wrist. MVPA cut-points were 14 m (cross-validation: sensitivity = 0.70, specificity = 0.99) and 54 count/5 s (cross-validation: sensitivity = 1.00, specificity = 0.96) for the hip; 60 m (cross-validation: sensitivity = 0.83, specificity = 0.99) and 182 counts/5 s (cross-validation: sensitivity = 1.00, specificity = 0.89) for the non-dominant wrist; and 64 m and 268 counts/5 s (not cross-validated) for the dominant wrist. These cut-points can classify ST and MVPA in older adults from hip- and wrist-worn accelerometers.

摘要

加速度计在久坐时间 (ST) 和中等到剧烈体力活动 (MVPA) 分类方面的准确性取决于加速度计的放置位置、数据处理方式、活动类型和样本特征。由于强度随年龄而异,因此本研究旨在确定 70 岁以上人群在不同佩戴位置的强度切点。校准使用了 59 名老年人的数据,交叉验证使用了 21 名独立参与者的数据。参与者在进行活动时佩戴在臀部和手腕上的加速度计,并使用便携式量热法测量其能量消耗。ST 和 MVPA 分别定义为≤1.5 代谢当量 (MET) 和≥3 MET (1 MET = 2.8 mL/kg/min)。接收器操作特性 (ROC) 分析显示出良好到中等的准确性 (曲线下面积 [AUC] = 0.62-0.89)。ST 的切点为髋部的 7 m(交叉验证:灵敏度 = 0.88,特异性 = 0.80)和 1 计数/5 秒(交叉验证:灵敏度 = 0.91,特异性 = 0.96);非优势手腕的 18 m(交叉验证:灵敏度 = 0.86,特异性 = 0.86)和 102 计数/5 秒(交叉验证:灵敏度 = 0.91,特异性 = 0.92);优势手腕的 22 m 和 175 计数/5 秒(未交叉验证)。MVPA 的切点为髋部的 14 m(交叉验证:灵敏度 = 0.70,特异性 = 0.99)和 54 计数/5 秒(交叉验证:灵敏度 = 1.00,特异性 = 0.96);非优势手腕的 60 m(交叉验证:灵敏度 = 0.83,特异性 = 0.99)和 182 计数/5 秒(交叉验证:灵敏度 = 1.00,特异性 = 0.89);优势手腕的 64 m 和 268 计数/5 秒(未交叉验证)。这些切点可用于分类髋部和腕部佩戴加速度计的老年人的 ST 和 MVPA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4d/8150960/d8bee6ecfddb/sensors-21-03326-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4d/8150960/d9ef17575d38/sensors-21-03326-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4d/8150960/d8bee6ecfddb/sensors-21-03326-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4d/8150960/d9ef17575d38/sensors-21-03326-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf4d/8150960/d8bee6ecfddb/sensors-21-03326-g001.jpg

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